Computing Anticipatory Systems: Casys=98 C Second International Conference

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  • Format: Hardcover
  • Copyright: 1999-03-01
  • Publisher: Amer Inst of Physics

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This book deals with anticipatory systems, an emergent new paradigm in systems research. A computing anticipatory system is a system which contains a model for computing its current state as a function of future potential states anticipated by this model. New conceptual, mathematical and computational tools are presented in this book for modelling such anticipatory systems.

Table of Contents

Hyperincursive McCulloch and Pitts Neurons for Designing a Computing Flip-Flop Memoryp. 3
On the Dynamics of Entailment-Meshesp. 23
A Model for the Construction of Elementary Conceptsp. 45
Neuronal and Network Computation in the Brainp. 53
A Medical Prescription for a Mindp. 65
Autonomy in Anticipatory Systems: Significance for Functionality, Intentionality and Meaningp. 75
Outline of a Philosophy of Anticipationp. 83
Complexity VIII. Ontology of Closure in Complex Systems: The C Hypothesis and the [actual symbol not reproducible] Notationp. 93
Hyperincursive Nature of the -operatorp. 103
Structured Brain Computing and its Learningp. 111
Anticipatory Behavior in Animalsp. 121
Space-Time Unity and the Representation Problemp. 131
Learning Plan Applicability Through Active Mental Entitiesp. 143
Representation of Neural Networks as Lotka-Volterra Systemsp. 155
An Adaptable Boolean Net Trainable to Control a Computing Robotp. 169
A Categorical Framework for Concurrent, Anticipatory Systemsp. 185
Walking Tree Heuristics for Biological String Alignment, Gene Location, and Phylogeniesp. 201
Genetic Algorithms and their Testingp. 217
Discovering and Updating Rules from Databasesp. 231
Agents: An Approach for Dynamic Process Modellingp. 245
The Application of Hybrid Artificial Intelligence Systems for Forecastingp. 259
Autonomous Management of Distributed Information Systems Using Evolutionary Computation Techniquesp. 269
A Diagnostic Process Extended in Time as a Fuzzy Modelp. 283
Formal Conceptual Structure in Languagep. 289
Darwin versus Lamarck in Algorithmic Models of Evolutionp. 303
The Origin of New Qualities in the Evolution of Interacting Dynamical Systemsp. 313
Progressive Evolution and a Measure for its Noise-Dependent Complexityp. 327
Global Vector Field Reconstruction for Dynamical Systemsp. 339
Onset of Chaos in Finite-Dimensional Models of Turbulencep. 353
Iterons, Fractals, and Computations of Automatap. 367
Systems Which Evolve with Dyadic Timep. 395
Information Transmission in Stationary Stochastic Systemsp. 405
Noise-Induced Phase Transitions in Nonlinear Oscillatorsp. 419
Computational Derivation of Quantum and Relativist Systems with Forward-Backward Space-Time Shiftsp. 435
The Philosophical Implications of Quantum Level Active Informationp. 457
Quantum Holography - The Paradigm of Quantum Entanglementp. 461
Algorithmic Growth and the Inclusion of Principles from Quantum Theory in Cellular Automatap. 469
An Overview of Innovative Methods for the Robotic Inverse Kinematic Problem Solutionp. 481
Dynamical Classes in the Minimum Time Pole Assignment Controlp. 499
Recent Investigations on Robot Mechanics at D.I.M.E.p. 513
Holonic Fleet Scheduling with TELETRUCKp. 531
The Utilization of Cybernetics in the Steering of Complex Production Processesp. 543
Adaptive Robust Control Scheme for Linear Systems with Unknown Time-Varying Parametersp. 557
Author Indexp. 567
Table of Contents provided by Blackwell. All Rights Reserved.

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